Participatory design of a smart forest in the Brazilian Amazon using smartphones, algorithms, and ethnographic methods

Author:

Zhang Shaozeng1ORCID,da Silva Leonardo Ribeiro

Affiliation:

1. Oregon State University Corvallis Oregon

Abstract

AbstractThis article reports on the participatory design of a smart forest project in a state forest reserve in the Brazilian Amazon in collaboration primarily with local community residents and secondarily with forest reserve managers and environmental scientists. The Smart Forest project was collectively proposed to use low‐cost digital technologies for forest‐carbon monitoring and sustainable development. Our research includes a feasibility test and impact assessment of the proposed components of the Smart Forest. It combines ethnographic fieldwork methods, such as interviews and focus groups on using recycled smartphones and sound‐recognition algorithms to remotely detect illegal logging, with innovative methods, such as field experiments using an open‐source smartphone app for participatory mapping of local traditional ecological knowledge (TEK). Our research findings, including unexpected ones, are helpful for community development, continuous participatory design, and academic research. This research was developed based on the first author Zhang's multiyear ethnographic field research in Amazonia and on the second author de Silva's local life experiences and action‐research interests.

Publisher

Wiley

Subject

Anthropology

Reference79 articles.

1. A nova cartografia social como instrumento de resistência: reflexões sobre a história de vida dos camponeses e camponesas na Luta pela Terra – MST/Goiás

2. Introduction: Computing in/from the South

3. El espectro radioeléctrico como bien común: Una reflexión en torno a la comunalidad y las redes celulares comunitarias en Oaxaca, México;Baca‐Feldman Carlos F.;Revista Latinoamericana de Ciencias de la Comunicación,2017

4. Cartografia social e organização política das comunidades remanescentes de quilombos de Salvaterra, Marajó, Pará, Brasil

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